IRMIRS: Inception-ResNet-Based Network for MRI Image Super-Resolution-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

IRMIRS: Inception-ResNet-Based Network for MRI Image Super-Resolution

Published:2023 Issue:2 Volume:136 Page:1121-1142
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Muhammad Wazir,Bhutto Zuhaibuddin,Masroor Salman,Hussain Shaikh Murtaza,Shah Jalal,Hussain Ayaz

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v136n2/51590/pdf

Reference73 articles.

1. Super-resolution methods in MRI: Can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?;Plenge;Magnetic Resonance in Medicine,2012

2. LRTV: MR image super-resolution with low-rank and total variation regularizations;Shi;IEEE Transactions on Medical Imaging,2015

3. A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution);Nguyen;Circuits, Systems and Signal Processing,2000

4. High-resolution image recovery from image-plane arrays, using convex projections;Stark;Journal of the Optical Society of America,1989

5. Super resolution from image sequences;Irani,1990

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DSEception: a noval neural networks architecture for enhancing pneumonia and tuberculosis diagnosis;Frontiers in Bioengineering and Biotechnology;2024-09-03

2. Shear Let Transform Residual Learning Approach for Single-Image Super-Resolution;Computers, Materials & Continua;2024

3. Automated detection of colon cancer from histopathological images using deep neural networks;Applications of Artificial Intelligence in Healthcare and Biomedicine;2024

4. Enhancing the Super-Resolution of Medical Images: Introducing the Deep Residual Feature Distillation Channel Attention Network for Optimized Performance and Efficiency;Bioengineering;2023-11-19

5. Deep learning in food category recognition;Information Fusion;2023-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3